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Software . 2022
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Software . 2022
License: CC BY
Data sources: Datacite
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ZENODO
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License: CC BY
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HOPS parser models for Old French

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 May 2022 Old French Publisher:Zenodo
Authors: Loïc Grobol;

doi: 10.5281/zenodo.7708976 , 10.5281/zenodo.6542538 , 10.5281/zenodo.6542539

HOPS parser models for Old French

Abstract

These are models trained for the 0.7.0 release of HOPS on Universal Dependencies 2.9. See the home repository for details on the data, resources and training. The performances of the models are given below. Model name UPOS (dev) LAS (dev) UPOS (test) LAS (test) UD_Old_French-SRCMF-2.9-bertrade_base 97.29 88.35 97.33 88.97 UD_Old_French-SRCMF-2.9-camembert_base+mlm-fro 97.78 90.42 97.63 91.30 UD_Old_French-SRCMF-2.9-flaubert_base_cased+mlm-fro 97.71 91.12 97.62 91.07

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Keywords

historical nlp, dependency parsing, nlp, syntax

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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